Longitudinal Analysis and Latent Growth Modeling of the Modified Hip Dysfunction and Osteoarthritis Outcome Score for Joint Replacement (HOOS-JR).

The Hip Dysfunction and Osteoarthritis Outcome Score for Joint Replacement (HOOS-JR) was developed as a short-form survey to measure progress after total hip arthroplasty (THA). However, the longitudinal validity of the scale structure pertaining to the modified five-item HOOS-JR has not been assessed. Therefore, the purpose of this study was to evaluate the structural validity, longitudinal invariance properties, and latent growth curve (LGC) modeling of the modified five-item HOOS-JR in a large multi-site sample of patients who underwent a THA. A longitudinal study was conducted using data from the Surgical Outcome System (SOS) database. Confirmatory factor analyses (CFAs) were conducted to assess the structural validity and longitudinal invariance across five time points. Additionally, LGC modeling was performed to assess the heterogeneity of the recovery patterns for different subgroups of patients. The resulting CFAs met most of the goodness-of-fit indices (CFI = 0.964-0.982; IFI = 0.965-0.986; SRMR = 0.021-0.035). Longitudinal analysis did not meet full invariance, exceeding the scalar invariance model (CFIDIFF = 0.012; χ2DIFF test = 702.67). Partial invariance requirements were met upon release of the intercept constraint associated with item five (CFIDIFF test = 0.010; χ2DIFF = 1073.83). The equal means model did not pass the recommended goodness-of-fit indices (CFIDIFF = 0.133; χ2DIFF = 3962.49). Scores significantly changed over time, with the highest scores identified preoperatively and the lowest scores identified at 2- and 3-years postoperatively. Upon conclusion, partial scalar invariance was identified within our model. We identified that patients self-report most improvements in their scores within 6 months postoperatively. Females reported more hip disability at preoperative time points and had faster improvement as measured by the scores of the modified five-item HOOS-JR.

Psychometric analysis of the Hip Disability and Osteoarthritis Outcome Score Joint Replacement (HOOS-JR).

Objective: Centers for Medicare and Medicaid Services (CMS) has requested hospitals collect and report patient-reported outcomes (PROs) beginning in 2024 including the Hip Disability and Osteoarthritis Outcome Score Joint Replacement (HOOS-JR). However, scale structural validity of the HOOS-JR has minimally been assessed. The purpose of this study was to assess internal consistency, structural validity, and multi-group invariance properties of the HOOS-JR in a large sample of patients who underwent a total hip arthroplasty (THA). Methods: A cross-sectional study using the Surgical Outcomes System was retrospectively queried for patients who underwent a THA. Internal consistency was assessed using Cronbach's alpha and McDonald's Omega. A confirmatory factor analysis (CFA) was performed on the HOOS-JR using a priori cut-off values. Multi-group invariance testing was also performed on the sample of patients across sex and age groups. Results: Internal consistency was acceptable for 6-item (alpha â€‹= â€‹0.88; omega â€‹= â€‹0.88) and 5-item (alpha â€‹= â€‹0.86; omega â€‹= â€‹0.86) HOOS-JR. The one-factor, 6-item CFA did not meet the recommended fit indices. The one-factor, 5-item CFA had acceptable fit for the sample data. Invariance testing criteria were met between the age groups; however, scalar invariance was not met for sex. Conclusion: The 6-item HOOS-JR did not meet contemporary model fit indices indicating that scale refinement is warranted. The 5-item met most goodness-of-fit indices and invariance criteria. However, further scale refinement may be warranted as localized fit issues were identified.

Outpatient total hip and knee arthroplasty - Patient expectations versus experience.

Aims & objectives: With modern advancements in surgical techniques and rapid recovery protocols, incidence of outpatient total joint arthroplasty (TJA) is increasing. Previous literature has historically focused on cost, safety, and clinical outcomes, with few studies investigating patient expectations and experiences. The aim of this study was to survey preoperative patient expectations related to outpatient TJA surgery compared with perioperative perceptions and experience. Materials & methods: Prospective study of patients undergoing outpatient total hip or knee arthroplasty at a single Tertiary Academic center. Preoperative and postoperative surveys were administered during routine clinic visits. Results: One hundred and six patients completed preoperative surveys; 79 completed postoperative surveys and were included in the final data analysis. Fifty (63.3 %) patients reported being aware of outpatient TJA prior to undergoing the procedure. There was no difference between preoperative anticipated pain control and postoperative perceived pain control (6.64 vs. 6.88, p = 0.77). Most postoperative patients (N = 56, 70.9 %) rated outpatient surgery as "much better" or "better" than expected. Most postoperative patients (N = 68, 86 %) would opt to have outpatient surgery again. Fifty-two (65.8 %) of postoperative patients believed outpatient surgery sped up their postoperative rehabilitation. Conclusion: For most patients, the outpatient surgical experience met or exceeded expectations. Nearly 90 % of patients would prefer to have outpatient surgery in the future, further supporting the continued migration of elective arthroplasty away from inpatient sites of care.

Opioid Utilization After Primary Total Hip and Knee Arthroplasty Following Sequential Implementation of Statewide Legislation.

Background: Following total hip arthroplasty (THA) and total knee arthroplasty (TKA), increased opioid use is associated with poor clinical outcomes. This study investigates implications of Florida legislative mandates on prescribing practices and opioid utilization following primary THA and TKA. Methods: We retrospectively reviewed patients undergoing primary TKA or THA between January 1, 2018, to December 31, 2020 at our academic medical center. Three groups were identified: procedures performed prior to mandates, after seven-day prescription limit, and after mandated electronic prescribing. A multivariate analyses of variance evaluated length of stay, morphine milligram equivalents (MMEs), age, body mass index and number of prescription refills. Chi-square tests compared preoperative opioid use, readmissions, and discharge disposition. Results: There were 198 patients in group one, 238 patients in group two, and 215 patients in group three (N = 651). Prior to any mandates, patients were prescribed 822.3 + 626.7 MMEs. Following a seven-day prescription limit this decreased to 465.0 + 296.0 MMEs (P < .001), which further decreased after mandated electronic prescribing (228.0 + 284.4 MMEs [P < 0.001]). Patients undergoing THA were prescribed less MME than those undergoing TKA. There was a 2.6% 90-day readmission rate, with no pain-related readmissions. Conclusions: Florida legislative mandates for opioid prescription quantities and electronic prescribing have effectively reduced average MMEs prescribed following primary arthroplasty. Despite a shift towards ambulatory surgery, opioid utilization decreased without compromising patient outcomes. These findings underscore the significance of both legislative and surgical practices influencing opioid prescribing habits among orthopaedic surgeons.

Machine Learning-Based Predictive Models for 90-Day Readmission of Total Joint Arthroplasty Using Comprehensive Electronic Health Records and Patient-Reported Outcome Measures.

Background: The Centers for Medicare & Medicaid Services currently incentivizes hospitals to reduce postdischarge adverse events such as unplanned hospital readmissions for patients who underwent total joint arthroplasty (TJA). This study aimed to predict 90-day TJA readmissions from our comprehensive electronic health record data and routinely collected patient-reported outcome measures. Methods: We retrospectively queried all TJA-related readmissions in our tertiary care center between 2016 and 2019. A total of 104-episode care characteristics and preoperative patient-reported outcome measures were used to develop several machine learning models for prediction performance evaluation and comparison. For interpretability, a logistic regression model was built to investigate the statistical significance, magnitudes, and directions of associations between risk factors and readmission. Results: Given the significant imbalanced outcome (5.8% of patients were readmitted), our models robustly predicted the outcome, yielding areas under the receiver operating characteristic curves over 0.8, recalls over 0.5, and precisions over 0.5. In addition, the logistic regression model identified risk factors predicting readmission: diabetes, preadmission medication prescriptions (ie, nonsteroidal anti-inflammatory drug, corticosteroid, and narcotic), discharge to a skilled nursing facility, and postdischarge care behaviors within 90 days. Notably, low self-reported confidence to carry out social activities accurately predicted readmission. Conclusions: A machine learning model can help identify patients who are at substantially increased risk of a readmission after TJA. This finding may allow for health-care providers to increase resources targeting these patients. In addition, a poor response to the "social activities" question may be a useful indicator that predicts a significant increased risk of readmission after TJA.

Preoperative Prediction and Risk Factor Identification of Hospital Length of Stay for Total Joint Arthroplasty Patients Using Machine Learning.

Background: The aim of this study was to improve understanding of hospital length of stay (LOS) in patients undergoing total joint arthroplasty (TJA) in a high-efficiency, hospital-based pathway. Methods: We retrospectively reviewed 1401 consecutive primary and revision TJA patients across 67 patient and preoperative care characteristics from 2016 to 2019 from the institutional electronic health records. A machine learning approach, testing multiple models, was used to assess predictors of LOS. Results: The median LOS was 1 day; outpatients accounted for 16.5%, 1-day inpatient stays for 38.0%, 2-day stays for 26.4%, and 3-days or more for 19.1%. Patients characteristically fell into 1 of 3 broad categories that contained relatively similar characteristics: outpatient (0-day LOS), short stay (1- to 2-day LOS), and prolonged stay (3 days or greater). The random forest models suggested that a lower Risk Assessment and Prediction Tool score, unplanned admission or hospital transfer, and a medical history of cardiovascular disease were associated with an increased LOS. Documented narcotic use for surgery preparation prior to hospitalization and preoperative corticosteroid use were factors independently associated with a decreased LOS. Conclusions: After TJA, most patients have either an outpatient or short-stay hospital episode. Patients who stay 2 days do not differ substantially from patients who stay 1 day, while there is a distinct group that requires prolonged admission. Our machine learning models support a better understanding of the patient factors associated with different hospital LOS categories for TJA, demonstrating the potential for improved health policy decisions and risk stratification for centers caring for complex patients.

Confirmatory Factor Analysis of the Hip Disability and Osteoarthritis Outcome Score (HOOS) and Associated Sub-scales.

Background: Hip Disability and Osteoarthritis Outcome Score (HOOS), HOOS-Joint Replacement (JR), HOOS Physical Function (PS), and HOOS-12 item scale have been suggested as reliable and valid instruments for assessing hip disability. However, factorial validity, invariance across subgroups, and repeated measures of the scale across different populations have not been well supported in the literature. Purpose: The primary study objectives were to: (1) assess model fit and psychometric properties of the original 40-item HOOS scale, (2) assess model fit of the HOOS-JR, (3) assess model fit of the HOOS-PS, and (4) assess model fit of the HOOS-12. A secondary objective was to perform multigroup invariance testing across physical activity level and hip pathology subgroups for models that met recommended fit indices. Study Design: Cross-Sectional Study. Methods: Individual confirmatory factor analyses (CFAs) were conducted for the HOOS, HOOS-JR, HOOS-PS, and HOOS-12. Additionally, multigroup invariance testing (i.e., activity level, injury type) was conducted on the HOOS-JR and HOOS-PS. Results: Model fit indices did not meet contemporary recommendations for the HOOS and the HOOS-12. Model fit indices for the HOOS-JR and the HOOS-PS met some, but not all, contemporary recommendations. Invariance criteria was met for the HOOS-JR and HOOS-PS. Conclusion: The scale structure of the HOOS and HOOS-12 were not supported; however, preliminary evidence to support the scale structure of the HOOS-JR and HOOS-PS was found. Clinicians and researchers who utilize the scales should do so with caution due to their limitations and untested properties until further research establishes the full psychometric properties of these scales and recommendations for their continued use.

Lessons Learned From the Comprehensive Care for Joint Replacement Model at an Academic Tertiary Center: The Good, the Bad, and the Ugly.

BACKGROUND: Our institution participated in the Comprehensive Care for Joint Replacement (CJR) model from 2016 to 2020. Here we review lessons learned from a total joint arthroplasty (TJA) care redesign at a tertiary academic center amid changing: (1) CJR rules; (2) inpatient only rules; and (3) outpatient trends. METHODS: Quality, financial, and patient demographic data from the years prior to and during participation in CJR were obtained from institutional and Medicare reconciled CJR performance data. RESULTS: Despite an increase in true outpatients and new challenges that arose from changing inpatient-only rules, there was significant improvement in quality metrics: decreased length of stay (3.48-1.52 days, P < .001), increased home discharge rate (70.2-85.5%, P < .001), decreased readmission rate (17.7%-5.1%, P < .001), decreased complication rate (6.5%-2.0%, P < .001), and the Centers for Medicare and Medicaid Services (CMS) Composite Quality Score increased from 4.4 to 17.6. Over the five year period, CMS saved an estimated $8.3 million on 1,486 CJR cases, $7.5 million on 1,351 non-CJR cases, and $600,000 from the voluntary classification of 371 short-stay inpatients as outpatient-a total savings of $16.4 million. Despite major physician time and effort leading to marked improvements in efficiency, quality, and large cost savings for CMS, CJR participation resulted in a net penalty of $304,456 to our institution, leading to zero physician gainsharing opportunities. CONCLUSION: The benefits of CJR were tempered by malalignment of incentives among payer, hospital, and physician as well as a lack of transparency. Future payment models should be refined based on the successes and challenges of CJR.

Confirmatory Factor Analysis of the Athlete Sleep Behavior Questionnaire.

CONTEXT: Sleep has long been understood as an essential component for overall well-being, substantially affecting physical health, cognitive functioning, mental health, and quality of life. Currently, the Athlete Sleep Behavior Questionnaire (ASBQ) is the only known instrument designed to measure sleep behaviors in the athletic population. However, the psychometric properties of the scale in a collegiate student-athlete and dance population have not been established. OBJECTIVE: To assess model fit of the ASBQ in a sample of collegiate traditional student-athletes and dancers. DESIGN: Observational study. SETTING: Twelve colleges and universities. PATIENTS OR OTHER PARTICIPANTS: A total of 556 (104 men, 452 women; age = 19.84 ± 1.62 years) traditional student-athletes and dancers competing at the collegiate level. MAIN OUTCOME MEASURE(S): A confirmatory factor analysis (CFA) was computed to assess the factor structure of the ASBQ. We performed principal component analysis extraction and covariance modeling analyses to identify an alternate model. Multigroup invariance testing was conducted on the alternate model to identify if group differences existed for sex, sport type, injury status, and level of competition. RESULTS: The CFA on the ASBQ indicated that the model did not meet recommended model fit indices. An alternate 3-factor, 9-item model with improved fit was identified; however, the scale structure was not consistently supported during multigroup invariance testing procedures. CONCLUSIONS: The original 3-factor, 18-item ASBQ was not supported for use with collegiate athletes in our study. The alternate ASBQ was substantially improved, although more research should be completed to ensure that the 9-item instrument accurately captures all dimensions of sleep behavior relevant for collegiate athletes.

Test-Retest Reliability of the Total Motion Release® Scale.

CONTEXT: Total Motion Release® (TMR®) is a novel treatment paradigm used to restore asymmetries in the body (eg, pain, tightness, limited range of motion). Six primary movements, known as the Fab 6, are performed by the patient and scored using a 0 to 100 scale. Clinicians currently utilize the TMR® scale to modify treatment, assess patient progress, and measure treatment effectiveness; however, the reliability of the TMR® scale has not been determined. It is imperative to assess scale reliability and establish minimal detectable change (MDC) values to guide clinical practice. OBJECTIVE: To assess the reliability of the TMR® scale and establish MDC values for each motion in healthy individuals in a group setting. DESIGN: Retrospective analysis of group TMR® assessments. SETTING: University classroom. PARTICIPANTS: A convenience sample of 61 students (23 males and 38 females; 25.48 [5.73] y), with (n = 31) and without (n = 30) previous exposure to TMR®. INTERVENTION: The TMR® Fab 6 movements were tested at 2 time points, 2 hours apart. A clinician with previous training in TMR® led participant groups through both sessions while participants recorded individual motion scores using the 0 to 100 TMR® scale. Test-retest reliability was calculated using an intraclass correlation coefficient (2,1) for inexperienced, experienced, and combined student groups. Standard error of measurement and MDC values were also assessed for each intraclass correlation coefficient. OUTCOME MEASURE: Self-reported scores on the TMR® scale. RESULTS: Test-retest reliability ranged from 0.57 to 0.95 across the Fab 6 movements, standard error of measurement values ranged from 4.85 to 11.77, and MDC values ranged from 13.45 to 32.62. CONCLUSION: The results indicate moderate to excellent reliability across the Fab 6 movements and a range of MDC values. Although this study is the first step in assessing the reliability of the TMR® scale for clinical practice, caution is warranted until further research is completed to establish reliability and MDC values of the TMR® scale in various settings to better guide patient care.

The Effects of Hip Mobilizations on Patient Outcomes: A Critically Appraised Topic.

Clinical Scenario: Hip osteoarthritis currently affects up to 28% of the population, and the number of affected Americans is expected to rise as the American population increases and ages. Limited hip range of motion (ROM) has been identified as a predisposing factor to hip osteoarthritis and limited patient function. Clinicians often apply therapy techniques, such as stretching and strengthening exercises, to improve hip ROM. Although traditional therapy has been recommended to improve hip ROM, the efficiency of the treatments within the literature is questionable due to lack of high-quality studies. More recently, clinicians have begun to utilize joint mobilization and the Mulligan Concept mobilization with movement techniques to increase ROM at the hip; however, there is a paucity of research on the lasting effects of mobilizations. Given the difficulties in improving ROM immediately (within a single treatment) and with long-lasting results (over the course of months), it is imperative to examine the evidence for the effectiveness of traditional therapy techniques and more novel manual therapy techniques. Focused Clinical Question: Is there evidence to suggest manual mobilizations techniques at the hip are effective at treating hip ROM limitations? Summary of Clinical Findings: 5 Randomized Controlled Studies, improved patient function and ROM with the Mulligan concept, high velocity low amplitude improved. Clinical Bottom Line: We found moderate evidence to suggest favorable outcomes following the use of hip mobilizations aimed at improving hip ROM and patient function. Strength of Recommendation: Strength of the studies identified are 1B.